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» Modeling complex luminance variations for target tracking
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156
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ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
15 years 9 months ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...
159
Voted
ICCS
2007
Springer
15 years 10 months ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li
140
Voted
CHI
2011
ACM
14 years 7 months ago
AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation
We present a finger-tracking system for touch-based interaction which can track 3D finger angle in addition to position, using low-resolution conventional capacitive sensors, th...
Simon Rogers, John Williamson, Craig Stewart, Rode...
130
Voted
ICRA
2005
IEEE
183views Robotics» more  ICRA 2005»
15 years 9 months ago
Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D
— Vision is one of the most powerful sensory modalities in robotics, allowing operation in dynamic environments. One of our long-term research interests is mobile manipulation, w...
Ville Kyrki, Danica Kragic
150
Voted
FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
15 years 9 months ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes